Urban solid waste incineration process nitrogen oxide soft measurement method based on modular neural network
A neural network and nitrogen oxide technology, applied in biological neural network models, character and pattern recognition, complex mathematical operations, etc., can solve problems such as changing furnace conditions and difficulty in establishing a soft sensor model with a single neural network, and achieve improved The effect of precision
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[0068] The simulation experiment in this paper is divided into two parts. Firstly, the benchmark experiment (sinE function fitting) is used to verify the performance of the modular neural network model, and then the actual data of the MSWI factory is used to conduct industrial experiments on the model. By comparing with the existing methods, it reflects the effectiveness of the proposed algorithm.
[0069] Combining the selection results of the mRMR algorithm with the mechanism of solid waste incineration, 20 features are finally determined in this paper, as shown in Table 2.
[0070] Table 2 Feature selection results
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[0073] After mRMR algorithm feature selection, combined with the solid waste incineration mechanism, NOx emissions are considered from two parts: generation and elimination. From the analysis of the generation process, it is mainly related to temperature and air volume. Considering the elimination process, it is mainly related to the inj...
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